Before building, founders in complex industries must deeply understand the operational rigor and nuances of their target vertical. This 'operator market fit' ensures the solution addresses real-world workflows, as a one-size-fits-all approach is doomed to fail.

Before changing the product, redefine your target market to focus only on the user segments that already love what you've built. By simply segmenting their data to exclude misaligned personas, Superhuman's PMF score jumped 10% without writing any code.

A genetic diagnostics machine was built to speed up patient diagnosis in hospitals. However, its biggest market turned out to be pharmaceutical companies needing to prove drug efficacy. This highlights how true product-market fit can be discovered accidentally in an adjacent, more lucrative market.

A powerful demand signal is when a company repeatedly tries to hire a person for a specific role but fails due to high turnover or an inability to get the job done. This indicates they are willing to spend significant money on the problem and that the human-based solution is flawed, creating a perfect entry point for software.

Initially building a tool for ML teams, they discovered the true pain point was creating AI-powered workflows for business users. This insight came from observing how first customers struggled with the infrastructure *around* their tool, not the tool itself.

Founder Ben Kieran intentionally sought out non-glamorous vertical software markets like HOA management. These niches often have large, overlooked opportunities with less competition and specific pain points, making them ideal for building a durable business without needing to be on the cutting edge of tech.

TeamBridge initially built a scheduling tool, but customers revealed the real problem was workflows and automations stuck in spreadsheets *surrounding* the schedule. Pivoting to solve this deeper, systemic pain led to making more money in one month than the previous two years combined.

After success in the affiliate network niche, Everflow expanded to direct brands. They discovered this seemingly similar market had different user personas (under-resourced marketers vs. entire teams) and needs (e.g., payment automation). This required significant product adaptation rather than a simple market expansion.

After five or six failed B2C ideas, Browserless founder Joel Griffith found success only when he pivoted to solving a problem he experienced personally as an engineer. This deep domain expertise in a B2B niche was critical to building a product that resonated.